MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation

Benchmark Model Rank Results
semantic-segmentation-on-synthiaMRFP+(Ours) Resnet50#2mIoU: 30.22
semantic-segmentation-on-synthiaResnet50#3mIoU: 25.84
semantic-segmentation-on-mapillary-valMRFP+(Ours) Resnet50#6mIoU: 44.93
semantic-segmentation-on-mapillary-valResnet50#8mIoU: 32.93
semantic-segmentation-on-bdd100k-valMRFP+(Ours) Resnet50#23mIoU: 39.55
semantic-segmentation-on-bdd100k-valResnet50#24mIoU: 31.44
semantic-segmentation-on-cityscapes-valMRFP+(Ours) Resnet50#91mIoU: 42.4
semantic-segmentation-on-cityscapes-valResnet50#92mIoU: 34.66